Customers’ selections between premium electric taxis and liquefied petroleum gas taxis

Reducing roadside emissions is a common challenge in metropolitan cities. In Hong Kong, conventional liquefied petroleum gas taxis are one of the main contributors to roadside emissions as they operate on the streets 24 h a day with a long daily driving mileage. Moreover, these taxis suffer from a severely poor service reputation. To enhance the environmental friendliness and service quality of the taxi industry, this study explores the market potential of operating premium electric taxis in the dispatching mode. A stated preference survey was conducted to 1410 taxi customers about their taxi-riding choices between premium electric taxis and conventional liquefied petroleum gas taxis. In total, 5640 observations were obtained and used to develop a series of binary logistic regression models with different model formulations for the determination of the significant factors influencing customers’ selections. The findings indicate that walk time to and wait time for taxis were the most critical concerns to the customers, and they were more willing to take premium taxis if their journey distance was longer and their desired improvement on taxi service quality was greater. The socio-demographic status of taxi customers also influences their choices. The associated policy implications are discussed for promoting taxis with better service quality and fewer roadside emissions. The findings provide some policy insights to other international cities that have a similar taxi market to Hong Kong.     

“一带一路”中老泰铁路运输风险评价及保费研究

随着“一带一路”设施联通建设的不断推进,作为泛亚铁路中线工程的中老泰铁路也是其中重要的一部分。为研究一带一路中老泰铁路货物运输风险以及相关保费计算,本文首先采用层次分析法得到铁路货物运输过程中存在的政治因素、气候因素、运维因素和自然力因素的风险以及不同风险因素组合的权重;其次基于N-K模型对风险进行耦合,并且结合权重计算风险耦合值,根据风险耦合值划分风险区间,不同风险区间对应的附加费率不同,最后利用保费计算公式可以得到保险费用。本文末以中老泰铁路运输水果为例,基于不同风险因素的耦合得到15个风险耦合值,并计算保费,得出不同风险下的保费结果。